Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	44322
Missing cells	82372
Missing cells (%)	8.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	51.6 MiB
Average record size in memory	1.2 KiB

Variable types

Categorical	12
Text	5
Unsupported	1
Numeric	4

Alerts

`Year` has constant value "2025"	Constant
`Occupation code` is highly overall correlated with `Occupation` and 1 other fields	High correlation
`Subcell code` is highly overall correlated with `Characteristic` and 2 other fields	High correlation
`Characteristic` is highly overall correlated with `Characteristic category` and 1 other fields	High correlation
`Characteristic category` is highly overall correlated with `Characteristic` and 1 other fields	High correlation
`Datatype` is highly overall correlated with `Datatype code` and 1 other fields	High correlation
`Datatype code` is highly overall correlated with `Datatype`	High correlation
`Estimate category` is highly overall correlated with `Estimate code`	High correlation
`Estimate code` is highly overall correlated with `Estimate category` and 2 other fields	High correlation
`Estimate footnote` is highly overall correlated with `Datatype` and 2 other fields	High correlation
`Industry` is highly overall correlated with `Industry code`	High correlation
`Industry code` is highly overall correlated with `Industry`	High correlation
`Occupation` is highly overall correlated with `Occupation code`	High correlation
`Ownership` is highly overall correlated with `Ownership code`	High correlation
`Ownership code` is highly overall correlated with `Ownership`	High correlation
`Standard error footnote` is highly overall correlated with `Estimate code` and 1 other fields	High correlation
`Industry` is highly imbalanced (63.3%)	Imbalance
`Occupation` is highly imbalanced (60.4%)	Imbalance
`Industry code` is highly imbalanced (63.3%)	Imbalance
`Estimate footnote` has 41116 (92.8%) missing values	Missing
`Standard error footnote` has 41256 (93.1%) missing values	Missing
`Series ID` has unique values	Unique
`Estimate` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Estimate code` has 3722 (8.4%) zeros	Zeros
`Occupation code` has 34508 (77.9%) zeros	Zeros
`Subcell code` has 21150 (47.7%) zeros	Zeros

Reproduction

Analysis started	2025-11-06 20:04:08.620020
Analysis finished	2025-11-06 20:04:12.314188
Duration	3.69 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

Estimate category
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Insurance benefits	12555
Healthcare benefits	9920
Leave benefits	8681
Retirement benefits	5445
Benefit combinations	3722
Other values (2)	3999

Length

Max length	24
Median length	20
Mean length	17.869252
Min length	14

Characters and Unicode

Total characters	792001
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Benefit combinations
2nd row	Benefit combinations
3rd row	Benefit combinations
4th row	Benefit combinations
5th row	Benefit combinations

Common Values

Value	Count	Frequency (%)
Insurance benefits	12555	28.3%
Healthcare benefits	9920	22.4%
Leave benefits	8681	19.6%
Retirement benefits	5445	12.3%
Benefit combinations	3722	8.4%
Financial benefits	2979	6.7%
Quality of life benefits	1020	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
benefits	40600	44.8%
insurance	12555	13.8%
healthcare	9920	10.9%
leave	8681	9.6%
retirement	5445	6.0%
benefit	3722	4.1%
combinations	3722	4.1%
financial	2979	3.3%
quality	1020	1.1%
of	1020	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	155756	19.7%
n	88279	11.1%
t	69874	8.8%
i	65209	8.2%
s	56877	7.2%
a	51776	6.5%
	46362	5.9%
f	46362	5.9%
b	44322	5.6%
c	29176	3.7%
Other values (15)	138008	17.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	792001	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	155756	19.7%
n	88279	11.1%
t	69874	8.8%
i	65209	8.2%
s	56877	7.2%
a	51776	6.5%
	46362	5.9%
f	46362	5.9%
b	44322	5.6%
c	29176	3.7%
Other values (15)	138008	17.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	792001	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	155756	19.7%
n	88279	11.1%
t	69874	8.8%
i	65209	8.2%
s	56877	7.2%
a	51776	6.5%
	46362	5.9%
f	46362	5.9%
b	44322	5.6%
c	29176	3.7%
Other values (15)	138008	17.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	792001	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	155756	19.7%
n	88279	11.1%
t	69874	8.8%
i	65209	8.2%
s	56877	7.2%
a	51776	6.5%
	46362	5.9%
f	46362	5.9%
b	44322	5.6%
c	29176	3.7%
Other values (15)	138008	17.4%

Datatype
Categorical

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Access rate	16666
Participation rate	13771
Average	3819
50th percentile - median	2332
Take-up rate	1902
Other values (5)	5832

Length

Max length	24
Median length	18
Mean length	14.114729
Min length	7

Characters and Unicode

Total characters	625593
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Access rate
2nd row	Access rate
3rd row	Access rate
4th row	Access rate
5th row	Access rate

Common Values

Value	Count	Frequency (%)
Access rate	16666	37.6%
Participation rate	13771	31.1%
Average	3819	8.6%
50th percentile - median	2332	5.3%
Take-up rate	1902	4.3%
90th percentile	1328	3.0%
75th percentile	1324	3.0%
10th percentile	1254	2.8%
25th percentile	1234	2.8%
Share of premiums	692	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rate	32339	35.9%
access	16666	18.5%
participation	13771	15.3%
percentile	7472	8.3%
average	3819	4.2%
50th	2332	2.6%
	2332	2.6%
median	2332	2.6%
take-up	1902	2.1%
90th	1328	1.5%
Other values (6)	5888	6.5%

Most occurring characters

Value	Count	Frequency (%)
e	84677	13.5%
t	74825	12.0%
a	68626	11.0%
r	58785	9.4%
c	54575	8.7%
i	51809	8.3%
	45859	7.3%
s	34024	5.4%
p	23837	3.8%
n	23575	3.8%
Other values (21)	105001	16.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	625593	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	84677	13.5%
t	74825	12.0%
a	68626	11.0%
r	58785	9.4%
c	54575	8.7%
i	51809	8.3%
	45859	7.3%
s	34024	5.4%
p	23837	3.8%
n	23575	3.8%
Other values (21)	105001	16.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	625593	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	84677	13.5%
t	74825	12.0%
a	68626	11.0%
r	58785	9.4%
c	54575	8.7%
i	51809	8.3%
	45859	7.3%
s	34024	5.4%
p	23837	3.8%
n	23575	3.8%
Other values (21)	105001	16.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	625593	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	84677	13.5%
t	74825	12.0%
a	68626	11.0%
r	58785	9.4%
c	54575	8.7%
i	51809	8.3%
	45859	7.3%
s	34024	5.4%
p	23837	3.8%
n	23575	3.8%
Other values (21)	105001	16.8%

Provision
Text

Distinct	342
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	4.9 MiB

Length

Max length	115
Median length	80
Mean length	59.7323
Min length	19

Characters and Unicode

Total characters	2647455
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Access to both medical care and retirement benefits
2nd row	Access to medical care and no retirement benefits
3rd row	Access to retirement and no medical care benefits
4th row	Access to no medical care and no retirement benefits
5th row	Access to both medical care benefits and life insurance plans

Value	Count	Frequency (%)
of	17482	4.6%
to	13885	3.7%
access	11121	2.9%
care	10363	2.7%
medical	8982	2.4%
contribution	8970	2.4%
paid	8854	2.3%
benefits	8134	2.1%
fixed	8100	2.1%
amount	7951	2.1%
Other values (202)	274973	72.6%

Most occurring characters

Value	Count	Frequency (%)
	334493	12.6%
e	292303	11.0%
a	186235	7.0%
i	184446	7.0%
n	176494	6.7%
t	162517	6.1%
o	147172	5.6%
r	144195	5.4%
s	108661	4.1%
l	106928	4.0%
Other values (42)	804011	30.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2647455	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	334493	12.6%
e	292303	11.0%
a	186235	7.0%
i	184446	7.0%
n	176494	6.7%
t	162517	6.1%
o	147172	5.6%
r	144195	5.4%
s	108661	4.1%
l	106928	4.0%
Other values (42)	804011	30.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2647455	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	334493	12.6%
e	292303	11.0%
a	186235	7.0%
i	184446	7.0%
n	176494	6.7%
t	162517	6.1%
o	147172	5.6%
r	144195	5.4%
s	108661	4.1%
l	106928	4.0%
Other values (42)	804011	30.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2647455	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	334493	12.6%
e	292303	11.0%
a	186235	7.0%
i	184446	7.0%
n	176494	6.7%
t	162517	6.1%
o	147172	5.6%
r	144195	5.4%
s	108661	4.1%
l	106928	4.0%
Other values (42)	804011	30.4%

Ownership
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Private industry workers	17054
Civilian workers	14621
State and local government workers	12131
Local government workers	272
State government workers	244

Length

Max length	34
Median length	24
Mean length	24.097965
Min length	16

Characters and Unicode

Total characters	1068070
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Civilian workers
2nd row	Civilian workers
3rd row	Civilian workers
4th row	Civilian workers
5th row	Civilian workers

Common Values

Value	Count	Frequency (%)
Private industry workers	17054	38.5%
Civilian workers	14621	33.0%
State and local government workers	12131	27.4%
Local government workers	272	0.6%
State government workers	244	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
workers	44322	31.1%
private	17054	12.0%
industry	17054	12.0%
civilian	14621	10.3%
government	12647	8.9%
local	12403	8.7%
state	12375	8.7%
and	12131	8.5%

Most occurring characters

Value	Count	Frequency (%)
r	135399	12.7%
e	99045	9.3%
	98285	9.2%
i	77971	7.3%
t	71505	6.7%
o	69372	6.5%
n	69100	6.5%
a	68584	6.4%
s	61376	5.7%
v	44322	4.1%
Other values (13)	273111	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1068070	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	135399	12.7%
e	99045	9.3%
	98285	9.2%
i	77971	7.3%
t	71505	6.7%
o	69372	6.5%
n	69100	6.5%
a	68584	6.4%
s	61376	5.7%
v	44322	4.1%
Other values (13)	273111	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1068070	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	135399	12.7%
e	99045	9.3%
	98285	9.2%
i	77971	7.3%
t	71505	6.7%
o	69372	6.5%
n	69100	6.5%
a	68584	6.4%
s	61376	5.7%
v	44322	4.1%
Other values (13)	273111	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1068070	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	135399	12.7%
e	99045	9.3%
	98285	9.2%
i	77971	7.3%
t	71505	6.7%
o	69372	6.5%
n	69100	6.5%
a	68584	6.4%
s	61376	5.7%
v	44322	4.1%
Other values (13)	273111	25.6%

Industry
Categorical

High correlation Imbalance

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

All industries	34496
Service-providing	813
Education and health services	770
Educational services	755
Junior colleges, colleges, universities, and professional schools	709
Other values (23)	6779

Length

Max length	72
Median length	14
Mean length	16.879834
Min length	9

Characters and Unicode

Total characters	748148
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All industries
2nd row	All industries
3rd row	All industries
4th row	All industries
5th row	All industries

Common Values

Value	Count	Frequency (%)
All industries	34496	77.8%
Service-providing	813	1.8%
Education and health services	770	1.7%
Educational services	755	1.7%
Junior colleges, colleges, universities, and professional schools	709	1.6%
Health care and social assistance	682	1.5%
Hospitals	620	1.4%
Elementary and secondary schools	526	1.2%
Goods-producing	525	1.2%
Public administration	507	1.1%
Other values (18)	3919	8.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
all	34496	34.7%
industries	34496	34.7%
and	5077	5.1%
services	2523	2.5%
health	1452	1.5%
colleges	1418	1.4%
schools	1235	1.2%
professional	1171	1.2%
service-providing	813	0.8%
education	770	0.8%
Other values (46)	15826	15.9%

Most occurring characters

Value	Count	Frequency (%)
i	92986	12.4%
s	91873	12.3%
l	81053	10.8%
e	58258	7.8%
	54955	7.3%
n	54955	7.3%
r	49412	6.6%
t	48833	6.5%
d	46093	6.2%
u	40913	5.5%
Other values (33)	128817	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	748148	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	92986	12.4%
s	91873	12.3%
l	81053	10.8%
e	58258	7.8%
	54955	7.3%
n	54955	7.3%
r	49412	6.6%
t	48833	6.5%
d	46093	6.2%
u	40913	5.5%
Other values (33)	128817	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	748148	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	92986	12.4%
s	91873	12.3%
l	81053	10.8%
e	58258	7.8%
	54955	7.3%
n	54955	7.3%
r	49412	6.6%
t	48833	6.5%
d	46093	6.2%
u	40913	5.5%
Other values (33)	128817	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	748148	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	92986	12.4%
s	91873	12.3%
l	81053	10.8%
e	58258	7.8%
	54955	7.3%
n	54955	7.3%
r	49412	6.6%
t	48833	6.5%
d	46093	6.2%
u	40913	5.5%
Other values (33)	128817	17.2%

Occupation
Categorical

High correlation Imbalance

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

All occupations	34508
Management, professional and related occupations	804
Professional and related occupations	799
Sales and office occupations	790
Office and administrative support occupations	780
Other values (13)	6641

Length

Max length	72
Median length	15
Mean length	20.821082
Min length	8

Characters and Unicode

Total characters	922832
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All occupations
2nd row	All occupations
3rd row	All occupations
4th row	All occupations
5th row	All occupations

Common Values

Value	Count	Frequency (%)
All occupations	34508	77.9%
Management, professional and related occupations	804	1.8%
Professional and related occupations	799	1.8%
Sales and office occupations	790	1.8%
Office and administrative support occupations	780	1.8%
Service occupations	758	1.7%
Natural resources, construction, and maintenance occupations	743	1.7%
Production, transportation, and material moving occupations	737	1.7%
Transportation and material moving occupations	518	1.2%
Management, business, and financial occupations	514	1.2%
Other values (8)	3371	7.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
occupations	43133	38.1%
all	34508	30.5%
and	8024	7.1%
related	2096	1.9%
professional	1603	1.4%
office	1570	1.4%
management	1318	1.2%
sales	1283	1.1%
transportation	1255	1.1%
material	1255	1.1%
Other values (27)	17204	15.2%

Most occurring characters

Value	Count	Frequency (%)
o	103890	11.3%
c	98014	10.6%
l	79368	8.6%
a	75558	8.2%
n	72761	7.9%
	68927	7.5%
t	63408	6.9%
i	63244	6.9%
s	59301	6.4%
u	49030	5.3%
Other values (23)	189331	20.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	922832	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	103890	11.3%
c	98014	10.6%
l	79368	8.6%
a	75558	8.2%
n	72761	7.9%
	68927	7.5%
t	63408	6.9%
i	63244	6.9%
s	59301	6.4%
u	49030	5.3%
Other values (23)	189331	20.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	922832	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	103890	11.3%
c	98014	10.6%
l	79368	8.6%
a	75558	8.2%
n	72761	7.9%
	68927	7.5%
t	63408	6.9%
i	63244	6.9%
s	59301	6.4%
u	49030	5.3%
Other values (23)	189331	20.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	922832	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	103890	11.3%
c	98014	10.6%
l	79368	8.6%
a	75558	8.2%
n	72761	7.9%
	68927	7.5%
t	63408	6.9%
i	63244	6.9%
s	59301	6.4%
u	49030	5.3%
Other values (23)	189331	20.5%

Characteristic category
Categorical

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

All workers	21150
Census area	9258
Establishment size	5577
Average wage category	4582
Work status	1883

Length

Max length	21
Median length	11
Mean length	13.16802
Min length	11

Characters and Unicode

Total characters	583633
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All workers
2nd row	All workers
3rd row	All workers
4th row	All workers
5th row	All workers

Common Values

Value	Count	Frequency (%)
All workers	21150	47.7%
Census area	9258	20.9%
Establishment size	5577	12.6%
Average wage category	4582	10.3%
Work status	1883	4.2%
Bargaining status	1872	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
all	21150	22.7%
workers	21150	22.7%
census	9258	9.9%
area	9258	9.9%
establishment	5577	6.0%
size	5577	6.0%
average	4582	4.9%
wage	4582	4.9%
category	4582	4.9%
status	3755	4.0%
Other values (2)	3755	4.0%

Most occurring characters

Value	Count	Frequency (%)
e	69148	11.8%
r	64477	11.0%
s	63907	10.9%
	48904	8.4%
l	47877	8.2%
a	45338	7.8%
o	27615	4.7%
A	25732	4.4%
w	25732	4.4%
t	23246	4.0%
Other values (16)	141657	24.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	583633	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	69148	11.8%
r	64477	11.0%
s	63907	10.9%
	48904	8.4%
l	47877	8.2%
a	45338	7.8%
o	27615	4.7%
A	25732	4.4%
w	25732	4.4%
t	23246	4.0%
Other values (16)	141657	24.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	583633	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	69148	11.8%
r	64477	11.0%
s	63907	10.9%
	48904	8.4%
l	47877	8.2%
a	45338	7.8%
o	27615	4.7%
A	25732	4.4%
w	25732	4.4%
t	23246	4.0%
Other values (16)	141657	24.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	583633	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	69148	11.8%
r	64477	11.0%
s	63907	10.9%
	48904	8.4%
l	47877	8.2%
a	45338	7.8%
o	27615	4.7%
A	25732	4.4%
w	25732	4.4%
t	23246	4.0%
Other values (16)	141657	24.3%

Characteristic
Categorical

High correlation

Distinct	30
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

All workers	21150
Full-time	994
100 workers or more	984
Nonunion	978
500 workers or more	965
Other values (25)	19251

Length

Max length	21
Median length	20
Mean length	12.334913
Min length	4

Characters and Unicode

Total characters	546708
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	All workers
2nd row	All workers
3rd row	All workers
4th row	All workers
5th row	All workers

Common Values

Value	Count	Frequency (%)
All workers	21150	47.7%
Full-time	994	2.2%
100 workers or more	984	2.2%
Nonunion	978	2.2%
500 workers or more	965	2.2%
100-499 workers	937	2.1%
Less than 100 workers	933	2.1%
Union	894	2.0%
Part-time	889	2.0%
Less than 50 workers	885	2.0%
Other values (20)	14713	33.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
workers	26727	28.1%
all	21150	22.2%
percent	4582	4.8%
25	3150	3.3%
south	2799	2.9%
central	2711	2.8%
west	2102	2.2%
more	1949	2.0%
or	1949	2.0%
100	1917	2.0%
Other values (25)	26212	27.5%

Most occurring characters

Value	Count	Frequency (%)
r	68501	12.5%
e	53002	9.7%
	50926	9.3%
l	49817	9.1%
o	41333	7.6%
s	38366	7.0%
w	29522	5.4%
t	28484	5.2%
k	26727	4.9%
A	22627	4.1%
Other values (30)	137403	25.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	546708	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	68501	12.5%
e	53002	9.7%
	50926	9.3%
l	49817	9.1%
o	41333	7.6%
s	38366	7.0%
w	29522	5.4%
t	28484	5.2%
k	26727	4.9%
A	22627	4.1%
Other values (30)	137403	25.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	546708	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	68501	12.5%
e	53002	9.7%
	50926	9.3%
l	49817	9.1%
o	41333	7.6%
s	38366	7.0%
w	29522	5.4%
t	28484	5.2%
k	26727	4.9%
A	22627	4.1%
Other values (30)	137403	25.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	546708	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	68501	12.5%
e	53002	9.7%
	50926	9.3%
l	49817	9.1%
o	41333	7.6%
s	38366	7.0%
w	29522	5.4%
t	28484	5.2%
k	26727	4.9%
A	22627	4.1%
Other values (30)	137403	25.1%

Year
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

2025	44322

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	177288
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2025
2nd row	2025
3rd row	2025
4th row	2025
5th row	2025

Common Values

Value	Count	Frequency (%)
2025	44322	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2025	44322	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	88644	50.0%
0	44322	25.0%
5	44322	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	177288	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	88644	50.0%
0	44322	25.0%
5	44322	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	177288	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	88644	50.0%
0	44322	25.0%
5	44322	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	177288	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	88644	50.0%
0	44322	25.0%
5	44322	25.0%

Estimate
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Estimate footnote
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.1%
Missing	41116
Missing (%)	92.8%
Memory size	2.7 MiB

7.0	1401
6.0	723
5.0	700
1.0	382

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9618
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
7.0	1401	3.2%
6.0	723	1.6%
5.0	700	1.6%
1.0	382	0.9%
(Missing)	41116	92.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
7.0	1401	43.7%
6.0	723	22.6%
5.0	700	21.8%
1.0	382	11.9%

Most occurring characters

Value	Count	Frequency (%)
.	3206	33.3%
0	3206	33.3%
7	1401	14.6%
6	723	7.5%
5	700	7.3%
1	382	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9618	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	3206	33.3%
0	3206	33.3%
7	1401	14.6%
6	723	7.5%
5	700	7.3%
1	382	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9618	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	3206	33.3%
0	3206	33.3%
7	1401	14.6%
6	723	7.5%
5	700	7.3%
1	382	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9618	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	3206	33.3%
0	3206	33.3%
7	1401	14.6%
6	723	7.5%
5	700	7.3%
1	382	4.0%

Standard error
Text

Distinct	3095
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	9
Median length	3
Mean length	3.2618113
Min length	1

Characters and Unicode

Total characters	144570
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2048 ?
Unique (%)	4.6%

Sample

1st row	0.8
2nd row	0.6
3rd row	0.6
4th row	0.6
5th row	0.9

Value	Count	Frequency (%)
0.0	1997	4.5%
1.1	1737	3.9%
0.9	1713	3.9%
1.0	1654	3.7%
1.3	1593	3.6%
1.2	1553	3.5%
0.7	1547	3.5%
0.8	1540	3.5%
0.4	1457	3.3%
1.4	1454	3.3%
Other values (3085)	28077	63.3%

Most occurring characters

Value	Count	Frequency (%)
.	44080	30.5%
0	29329	20.3%
1	20254	14.0%
2	12000	8.3%
3	7936	5.5%
4	6311	4.4%
5	5512	3.8%
6	5100	3.5%
7	4826	3.3%
9	4491	3.1%
Other values (2)	4731	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	144570	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	44080	30.5%
0	29329	20.3%
1	20254	14.0%
2	12000	8.3%
3	7936	5.5%
4	6311	4.4%
5	5512	3.8%
6	5100	3.5%
7	4826	3.3%
9	4491	3.1%
Other values (2)	4731	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	144570	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	44080	30.5%
0	29329	20.3%
1	20254	14.0%
2	12000	8.3%
3	7936	5.5%
4	6311	4.4%
5	5512	3.8%
6	5100	3.5%
7	4826	3.3%
9	4491	3.1%
Other values (2)	4731	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	144570	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	44080	30.5%
0	29329	20.3%
1	20254	14.0%
2	12000	8.3%
3	7936	5.5%
4	6311	4.4%
5	5512	3.8%
6	5100	3.5%
7	4826	3.3%
9	4491	3.1%
Other values (2)	4731	3.3%

Standard error footnote
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.1%
Missing	41256
Missing (%)	93.1%
Memory size	2.7 MiB

6.0	1401
5.0	723
8.0	700
2.0	242

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9198
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
6.0	1401	3.2%
5.0	723	1.6%
8.0	700	1.6%
2.0	242	0.5%
(Missing)	41256	93.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
6.0	1401	45.7%
5.0	723	23.6%
8.0	700	22.8%
2.0	242	7.9%

Most occurring characters

Value	Count	Frequency (%)
.	3066	33.3%
0	3066	33.3%
6	1401	15.2%
5	723	7.9%
8	700	7.6%
2	242	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9198	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	3066	33.3%
0	3066	33.3%
6	1401	15.2%
5	723	7.9%
8	700	7.6%
2	242	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9198	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	3066	33.3%
0	3066	33.3%
6	1401	15.2%
5	723	7.9%
8	700	7.6%
2	242	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9198	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	3066	33.3%
0	3066	33.3%
6	1401	15.2%
5	723	7.9%
8	700	7.6%
2	242	2.6%

Series title
Text

Distinct	44145
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Memory size	8.4 MiB

Length

Max length	250
Median length	194
Mean length	142.47606
Min length	51

Characters and Unicode

Total characters	6314824
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43968 ?
Unique (%)	99.2%

Sample

1st row	Percent of civilian workers with access to both medical care and retirement benefits
2nd row	Percent of civilian workers with access to medical care and no retirement benefits
3rd row	Percent of civilian workers with access to retirement and no medical care benefits
4th row	Percent of civilian workers with access to no medical care and no retirement benefits
5th row	Percent of civilian workers with access to both medical care benefits and life insurance plans

Value	Count	Frequency (%)
workers	50682	5.5%
of	49717	5.4%
with	42900	4.6%
percent	40475	4.4%
in	37767	4.1%
and	29987	3.2%
for	24023	2.6%
to	19604	2.1%
plans	19427	2.1%
private	17054	1.8%
Other values (316)	592241	64.1%

Most occurring characters

Value	Count	Frequency (%)
	879555	13.9%
e	628394	10.0%
i	463569	7.3%
n	453469	7.2%
t	447759	7.1%
a	439215	7.0%
r	426959	6.8%
o	352000	5.6%
s	318965	5.1%
c	250751	4.0%
Other values (44)	1654188	26.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6314824	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	879555	13.9%
e	628394	10.0%
i	463569	7.3%
n	453469	7.2%
t	447759	7.1%
a	439215	7.0%
r	426959	6.8%
o	352000	5.6%
s	318965	5.1%
c	250751	4.0%
Other values (44)	1654188	26.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6314824	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	879555	13.9%
e	628394	10.0%
i	463569	7.3%
n	453469	7.2%
t	447759	7.1%
a	439215	7.0%
r	426959	6.8%
o	352000	5.6%
s	318965	5.1%
c	250751	4.0%
Other values (44)	1654188	26.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6314824	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	879555	13.9%
e	628394	10.0%
i	463569	7.3%
n	453469	7.2%
t	447759	7.1%
a	439215	7.0%
r	426959	6.8%
o	352000	5.6%
s	318965	5.1%
c	250751	4.0%
Other values (44)	1654188	26.2%

Series ID
Text

Unique

Distinct	44322
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	1019406
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44322 ?
Unique (%)	100.0%

Sample

1st row	NBU10000000000000028007
2nd row	NBU10000000000000028008
3rd row	NBU10000000000000028009
4th row	NBU10000000000000028010
5th row	NBU10000000000000028011

Value	Count	Frequency (%)
nbu10000000000000028007	1	< 0.1%
nbu10000000000000028014	1	< 0.1%
nbu10000000000000028028	1	< 0.1%
nbu10000000000000028027	1	< 0.1%
nbu10000000000000028026	1	< 0.1%
nbu10000000000000028009	1	< 0.1%
nbu10000000000000028010	1	< 0.1%
nbu10000000000000028011	1	< 0.1%
nbu10000000000000028012	1	< 0.1%
nbu10000000000000028013	1	< 0.1%
Other values (44312)	44312	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	491317	48.2%
2	91478	9.0%
1	84036	8.2%
3	59248	5.8%
N	44322	4.3%
B	44322	4.3%
U	44322	4.3%
5	35358	3.5%
4	28112	2.8%
6	26798	2.6%
Other values (7)	70093	6.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1019406	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	491317	48.2%
2	91478	9.0%
1	84036	8.2%
3	59248	5.8%
N	44322	4.3%
B	44322	4.3%
U	44322	4.3%
5	35358	3.5%
4	28112	2.8%
6	26798	2.6%
Other values (7)	70093	6.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1019406	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	491317	48.2%
2	91478	9.0%
1	84036	8.2%
3	59248	5.8%
N	44322	4.3%
B	44322	4.3%
U	44322	4.3%
5	35358	3.5%
4	28112	2.8%
6	26798	2.6%
Other values (7)	70093	6.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1019406	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	491317	48.2%
2	91478	9.0%
1	84036	8.2%
3	59248	5.8%
N	44322	4.3%
B	44322	4.3%
U	44322	4.3%
5	35358	3.5%
4	28112	2.8%
6	26798	2.6%
Other values (7)	70093	6.9%

Ownership code
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

2	17054
1	14621
3	12131
5	272
4	244

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	44322
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Most occurring characters

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	44322	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	44322	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	44322	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	17054	38.5%
1	14621	33.0%
3	12131	27.4%
5	272	0.6%
4	244	0.6%

Estimate code
Real number (ℝ)

High correlation Zeros

Distinct	38
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.944903

Minimum	0
Maximum	98
Zeros	3722
Zeros (%)	8.4%
Negative	0
Negative (%)	0.0%
Memory size	346.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	15
Q3	17
95-th percentile	89
Maximum	98
Range	98
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	23.66215
Coefficient of variation (CV)	1.1297331
Kurtosis	3.1897975
Mean	20.944903
Median Absolute Deviation (MAD)	3
Skewness	2.0975043
Sum	928320
Variance	559.89733
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
15	8197	18.5%
16	4717	10.6%
14	4521	10.2%
0	3722	8.4%
17	3144	7.1%
5	2879	6.5%
12	2635	5.9%
7	2600	5.9%
19	2547	5.7%
6	2338	5.3%
Other values (28)	7022	15.8%

Value	Count	Frequency (%)
0	3722	8.4%
5	2879	6.5%
6	2338	5.3%
7	2600	5.9%
12	2635	5.9%
14	4521	10.2%
15	8197	18.5%
16	4717	10.6%
17	3144	7.1%
19	2547	5.7%

Value	Count	Frequency (%)
98	172	0.4%
97	171	0.4%
94	346	0.8%
90	1386	3.1%
89	173	0.4%
88	173	0.4%
86	173	0.4%
85	172	0.4%
84	173	0.4%
83	173	0.4%

Industry code
Categorical

High correlation Imbalance

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

000000	34496
S00000	813
600000	770
610000	755
612000	709
Other values (23)	6779

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	265932
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	000000
2nd row	000000
3rd row	000000
4th row	000000
5th row	000000

Common Values

Value	Count	Frequency (%)
000000	34496	77.8%
S00000	813	1.8%
600000	770	1.7%
610000	755	1.7%
612000	709	1.6%
620000	682	1.5%
622000	620	1.4%
611100	526	1.2%
G00000	525	1.2%
920000	507	1.1%
Other values (18)	3919	8.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
000000	34496	77.8%
s00000	813	1.8%
600000	770	1.7%
610000	755	1.7%
612000	709	1.6%
620000	682	1.5%
622000	620	1.4%
611100	526	1.2%
g00000	525	1.2%
920000	507	1.1%
Other values (18)	3919	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	245533	92.3%
2	5177	1.9%
6	4243	1.6%
1	3683	1.4%
5	1974	0.7%
4	1625	0.6%
3	822	0.3%
S	813	0.3%
G	525	0.2%
9	507	0.2%
Other values (3)	1030	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	265932	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	245533	92.3%
2	5177	1.9%
6	4243	1.6%
1	3683	1.4%
5	1974	0.7%
4	1625	0.6%
3	822	0.3%
S	813	0.3%
G	525	0.2%
9	507	0.2%
Other values (3)	1030	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	265932	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	245533	92.3%
2	5177	1.9%
6	4243	1.6%
1	3683	1.4%
5	1974	0.7%
4	1625	0.6%
3	822	0.3%
S	813	0.3%
G	525	0.2%
9	507	0.2%
Other values (3)	1030	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	265932	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	245533	92.3%
2	5177	1.9%
6	4243	1.6%
1	3683	1.4%
5	1974	0.7%
4	1625	0.6%
3	822	0.3%
S	813	0.3%
G	525	0.2%
9	507	0.2%
Other values (3)	1030	0.4%

Occupation code
Real number (ℝ)

High correlation Zeros

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77979.51

Minimum	0
Maximum	530000
Zeros	34508
Zeros (%)	77.9%
Negative	0
Negative (%)	0.0%
Memory size	346.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	490000
Maximum	530000
Range	530000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	160886.43
Coefficient of variation (CV)	2.0631885
Kurtosis	1.6665603
Mean	77979.51
Median Absolute Deviation (MAD)	0
Skewness	1.8195786
Sum	3.4562079 × 10⁹
Variance	2.5884443 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	34508	77.9%
112900	804	1.8%
152900	799	1.8%
414300	790	1.8%
430000	780	1.8%
313900	758	1.7%
454900	743	1.7%
515300	737	1.7%
530000	518	1.2%
111300	514	1.2%
Other values (8)	3371	7.6%

Value	Count	Frequency (%)
0	34508	77.9%
111300	514	1.2%
112900	804	1.8%
152900	799	1.8%
250001	501	1.1%
252000	465	1.0%
291111	223	0.5%
313900	758	1.7%
330000	241	0.5%
410000	493	1.1%

Value	Count	Frequency (%)
530000	518	1.2%
515300	737	1.7%
510000	508	1.1%
490000	499	1.1%
454900	743	1.7%
454700	441	1.0%
430000	780	1.8%
414300	790	1.8%
410000	493	1.1%
330000	241	0.5%

Subcell code
Real number (ℝ)

High correlation Zeros

Distinct	42
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.429042

Minimum	0
Maximum	59
Zeros	21150
Zeros (%)	47.7%
Negative	0
Negative (%)	0.0%
Memory size	346.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	17
95-th percentile	48
Maximum	59
Range	59
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	15.070878
Coefficient of variation (CV)	1.4450875
Kurtosis	1.9337808
Mean	10.429042
Median Absolute Deviation (MAD)	2
Skewness	1.6384727
Sum	462236
Variance	227.13137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	21150	47.7%
25	994	2.2%
5	984	2.2%
24	978	2.2%
7	965	2.2%
6	937	2.1%
1	933	2.1%
23	894	2.0%
26	889	2.0%
2	885	2.0%
Other values (32)	14713	33.2%

Value	Count	Frequency (%)
0	21150	47.7%
1	933	2.1%
2	885	2.0%
4	873	2.0%
5	984	2.2%
6	937	2.1%
7	965	2.2%
8	751	1.7%
9	602	1.4%
10	739	1.7%

Value	Count	Frequency (%)
59	262	0.6%
58	265	0.6%
57	269	0.6%
56	243	0.5%
55	269	0.6%
54	253	0.6%
51	255	0.6%
49	259	0.6%
48	263	0.6%
46	240	0.5%

Datatype code
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.937525

Minimum	20
Maximum	33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	346.4 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	20
median	28
Q3	30
95-th percentile	33
Maximum	33
Range	13
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	4.6329404
Coefficient of variation (CV)	0.17861921
Kurtosis	-1.4106781
Mean	25.937525
Median Absolute Deviation (MAD)	4
Skewness	-0.034110672
Sum	1149603
Variance	21.464137
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
20	11869	26.8%
28	8771	19.8%
33	4812	10.9%
30	3819	8.6%
29	3083	7.0%
23	2332	5.3%
26	1902	4.3%
32	1902	4.3%
25	1328	3.0%
24	1324	3.0%
Other values (3)	3180	7.2%

Value	Count	Frequency (%)
20	11869	26.8%
21	1254	2.8%
22	1234	2.8%
23	2332	5.3%
24	1324	3.0%
25	1328	3.0%
26	1902	4.3%
28	8771	19.8%
29	3083	7.0%
30	3819	8.6%

Value	Count	Frequency (%)
33	4812	10.9%
32	1902	4.3%
31	692	1.6%
30	3819	8.6%
29	3083	7.0%
28	8771	19.8%
26	1902	4.3%
25	1328	3.0%
24	1324	3.0%
23	2332	5.3%

Provision code
Text

Distinct	342
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	132966
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	007
2nd row	008
3rd row	009
4th row	010
5th row	011

Value	Count	Frequency (%)
312	174	0.4%
320	174	0.4%
319	174	0.4%
290	174	0.4%
321	174	0.4%
222	173	0.4%
291	173	0.4%
360	173	0.4%
350	173	0.4%
348	173	0.4%
Other values (332)	42587	96.1%

Most occurring characters

Value	Count	Frequency (%)
1	20137	15.1%
2	19823	14.9%
3	19098	14.4%
0	16639	12.5%
8	11057	8.3%
7	9108	6.8%
4	9083	6.8%
9	9071	6.8%
6	9071	6.8%
5	8449	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	132966	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	20137	15.1%
2	19823	14.9%
3	19098	14.4%
0	16639	12.5%
8	11057	8.3%
7	9108	6.8%
4	9083	6.8%
9	9071	6.8%
6	9071	6.8%
5	8449	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	132966	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	20137	15.1%
2	19823	14.9%
3	19098	14.4%
0	16639	12.5%
8	11057	8.3%
7	9108	6.8%
4	9083	6.8%
9	9071	6.8%
6	9071	6.8%
5	8449	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	132966	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	20137	15.1%
2	19823	14.9%
3	19098	14.4%
0	16639	12.5%
8	11057	8.3%
7	9108	6.8%
4	9083	6.8%
9	9071	6.8%
6	9071	6.8%
5	8449	6.4%

Interactions

Correlations

	Year	Estimate footnote	Standard error footnote	Ownership code	Estimate code	Occupation code	Subcell code	Datatype code
Year	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
Estimate footnote	NaN	1.000	-0.161	0.058	0.295	0.058	-0.044	-0.262
Standard error footnote	NaN	-0.161	1.000	0.032	0.307	0.042	0.006	-0.383
Ownership code	NaN	0.058	0.032	1.000	0.007	-0.094	0.036	0.002
Estimate code	NaN	0.295	0.307	0.007	1.000	0.012	-0.006	0.371
Occupation code	NaN	0.058	0.042	-0.094	0.012	1.000	-0.335	-0.016
Subcell code	NaN	-0.044	0.006	0.036	-0.006	-0.335	1.000	-0.005
Datatype code	NaN	-0.262	-0.383	0.002	0.371	-0.016	-0.005	1.000

	Year	Estimate footnote	Standard error footnote	Ownership code	Estimate code	Occupation code	Subcell code	Datatype code
Year	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
Estimate footnote	NaN	1.000	-0.251	0.048	-0.377	0.016	-0.023	-0.062
Standard error footnote	NaN	-0.251	1.000	0.032	-0.145	0.020	-0.007	-0.118
Ownership code	NaN	0.048	0.032	1.000	0.008	-0.087	0.025	0.006
Estimate code	NaN	-0.377	-0.145	0.008	1.000	0.029	-0.026	0.000
Occupation code	NaN	0.016	0.020	-0.087	0.029	1.000	-0.506	-0.022
Subcell code	NaN	-0.023	-0.007	0.025	-0.026	-0.506	1.000	0.008
Datatype code	NaN	-0.062	-0.118	0.006	0.000	-0.022	0.008	1.000

	Characteristic	Characteristic category	Datatype	Datatype code	Estimate category	Estimate code	Estimate footnote	Industry	Industry code	Occupation	Occupation code	Ownership	Ownership code	Standard error footnote	Subcell code
Characteristic	1.000	1.000	0.000	0.022	0.054	0.038	0.091	0.104	0.104	0.133	0.209	0.081	0.081	0.052	0.839
Characteristic category	1.000	1.000	0.026	0.037	0.063	0.052	0.089	0.249	0.249	0.249	0.249	0.083	0.083	0.075	0.757
Datatype	0.000	0.026	1.000	0.881	0.330	0.268	0.577	0.000	0.000	0.000	0.000	0.008	0.008	0.498	0.000
Datatype code	0.022	0.037	0.881	1.000	0.381	0.000	0.457	0.000	0.000	0.000	-0.022	0.013	0.013	0.460	0.008
Estimate category	0.054	0.063	0.330	0.381	1.000	0.546	0.478	0.012	0.012	0.015	0.019	0.023	0.023	0.357	0.032
Estimate code	0.038	0.052	0.268	0.000	0.546	1.000	0.556	0.000	0.000	0.000	0.029	0.000	0.000	0.529	-0.026
Estimate footnote	0.091	0.089	0.577	0.457	0.478	0.556	1.000	0.053	0.053	0.000	0.041	0.022	0.022	1.000	0.089
Industry	0.104	0.249	0.000	0.000	0.012	0.000	0.053	1.000	1.000	0.064	0.105	0.207	0.207	0.000	0.156
Industry code	0.104	0.249	0.000	0.000	0.012	0.000	0.053	1.000	1.000	0.064	0.105	0.207	0.207	0.000	0.156
Occupation	0.133	0.249	0.000	0.000	0.015	0.000	0.000	0.064	0.064	1.000	1.000	0.134	0.134	0.000	0.156
Occupation code	0.209	0.249	0.000	-0.022	0.019	0.029	0.041	0.105	0.105	1.000	1.000	0.108	0.108	0.000	-0.506
Ownership	0.081	0.083	0.008	0.013	0.023	0.000	0.022	0.207	0.207	0.134	0.108	1.000	1.000	0.000	0.169
Ownership code	0.081	0.083	0.008	0.013	0.023	0.000	0.022	0.207	0.207	0.134	0.108	1.000	1.000	0.000	0.169
Standard error footnote	0.052	0.075	0.498	0.460	0.357	0.529	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.045
Subcell code	0.839	0.757	0.000	0.008	0.032	-0.026	0.089	0.156	0.156	0.156	-0.506	0.169	0.169	0.045	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Estimate category	Datatype	Provision	Ownership	Industry	Occupation	Characteristic category	Characteristic	Year	Estimate	Estimate footnote	Standard error	Standard error footnote	Series title	Series ID	Ownership code	Datatype code	Provision code
0	Benefit combinations	Access rate	Access to both medical care and retirement benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	66	NaN	0.8	NaN	Percent of civilian workers with access to both medical care and retirement benefits	NBU10000000000000028007	1	28	007
1	Benefit combinations	Access rate	Access to medical care and no retirement benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	8	NaN	0.6	NaN	Percent of civilian workers with access to medical care and no retirement benefits	NBU10000000000000028008	1	28	008
2	Benefit combinations	Access rate	Access to retirement and no medical care benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	8	NaN	0.6	NaN	Percent of civilian workers with access to retirement and no medical care benefits	NBU10000000000000028009	1	28	009
3	Benefit combinations	Access rate	Access to no medical care and no retirement benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	18	NaN	0.6	NaN	Percent of civilian workers with access to no medical care and no retirement benefits	NBU10000000000000028010	1	28	010
4	Benefit combinations	Access rate	Access to both medical care benefits and life insurance plans	Civilian workers	All industries	All occupations	All workers	All workers	2025	61	NaN	0.9	NaN	Percent of civilian workers with access to both medical care benefits and life insurance plans	NBU10000000000000028011	1	28	011
5	Benefit combinations	Access rate	Access to medical care benefits and no life insurance plans	Civilian workers	All industries	All occupations	All workers	All workers	2025	13	NaN	0.6	NaN	Percent of civilian workers with access to medical care benefits and no life insurance plans	NBU10000000000000028012	1	28	012
6	Benefit combinations	Access rate	Access to life insurance plans and no medical care benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	1	NaN	0.2	NaN	Percent of civilian workers with access to life insurance plans and no medical care benefits	NBU10000000000000028013	1	28	013
7	Benefit combinations	Access rate	Access to no medical care benefits and no life insurance plans	Civilian workers	All industries	All occupations	All workers	All workers	2025	25	NaN	0.8	NaN	Percent of civilian workers with access to no medical care benefits and no life insurance plans	NBU10000000000000028014	1	28	014
8	Benefit combinations	Access rate	Access to both medical care benefits and defined benefit plans	Civilian workers	All industries	All occupations	All workers	All workers	2025	23	NaN	0.5	NaN	Percent of civilian workers with access to both medical care benefits and defined benefit plans	NBU10000000000000028015	1	28	015
9	Benefit combinations	Access rate	Access to defined benefit plans and no medical care benefits	Civilian workers	All industries	All occupations	All workers	All workers	2025	1	NaN	0.1	NaN	Percent of civilian workers with access to defined benefit plans and no medical care benefits	NBU10000000000000028016	1	28	016

	Estimate category	Datatype	Provision	Ownership	Industry	Occupation	Characteristic category	Characteristic	Year	Estimate	Estimate footnote	Standard error	Standard error footnote	Series title	Series ID	Ownership code	Estimate code	Datatype code	Provision code
44312	Retirement benefits	Participation rate	Participation rate for all retirement benefits	Local government workers	All industries	All occupations	All workers	All workers	2025	80	NaN	0.6	NaN	Percent of local government workers participating in all retirement benefits	NBU59000000000000026320	5	90	26	320
44313	Retirement benefits	Access rate	Access to all retirement benefits	Local government workers	All industries	All occupations	All workers	All workers	2025	90	NaN	0.7	NaN	Percent of local government workers with access to all retirement benefits	NBU59000000000000028319	5	90	28	319
44314	Retirement benefits	Access rate	Access to both defined benefit and defined contribution plans	Local government workers	All industries	All occupations	All workers	All workers	2025	28	NaN	1.1	NaN	Percent of local government workers with access to both defined benefit and defined contribution plans	NBU59000000000000028384	5	90	28	384
44315	Retirement benefits	Take-up rate	Take-up rate for defined benefit plans	Local government workers	All industries	All occupations	All workers	All workers	2025	88	NaN	0.6	NaN	Take-up rate for defined benefit plans for local government workers	NBU59000000000000032292	5	90	32	292
44316	Retirement benefits	Take-up rate	Take-up rate for defined contribution plans	Local government workers	All industries	All occupations	All workers	All workers	2025	49	NaN	2.1	NaN	Take-up rate for defined contribution plans for local government workers	NBU59000000000000032314	5	90	32	314
44317	Retirement benefits	Take-up rate	Take-up rate for all retirement benefits	Local government workers	All industries	All occupations	All workers	All workers	2025	89	NaN	0.5	NaN	Take-up rate for all retirement benefits for local government workers	NBU59000000000000032321	5	90	32	321
44318	Healthcare benefits	Participation rate	Participation rate for healthcare benefits	Local government workers	All industries	All occupations	All workers	All workers	2025	75	NaN	0.7	NaN	Percent of local government workers participating in healthcare benefits	NBU59400000000000026172	5	94	26	172
44319	Healthcare benefits	Take-up rate	Take-up rate for healthcare benefits	Local government workers	All industries	All occupations	All workers	All workers	2025	86	NaN	0.6	NaN	Take-up rate for healthcare benefits for local government workers	NBU59400000000000032173	5	94	32	173
44320	Financial benefits	Access rate	Access to student loan repayment	Local government workers	All industries	All occupations	All workers	All workers	2025	5	NaN	0.4	NaN	Percent of local government workers with access to student loan repayment	NBU59700000000000033967	5	97	33	967
44321	Quality of life benefits	Access rate	Access to flexible work schedule	Local government workers	All industries	All occupations	All workers	All workers	2025	6	NaN	0.5	NaN	Percent of local government workers with access to flexible work schedule	NBU59800000000000033968	5	98	33	968

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories